Autonomous Mobile Asphalt Density Profiling Robot to Reduce Worker Risk

Principal Investigator:

Nikos Papanikolopoulos, Professor, Computer Science and Engineering

Co-Investigator

  • Theodore Morris, Information Tech Manager, Center for Transportation Studies

Project Summary:

MnDOT pavement construction personnel have lately improved quality assurance (QA) through utilization of new non-intrusive pavement profile sensors. Although proving to be accurate, the acquisition process can be manually intensive and hazardous. The primary objective of the proposed workplan is to deliver to MnDOT two low-cost, modular, mobile robot platforms designed specifically for pavement density profile testing. Modularity will be ensured by integrating separate, distributed, 'plug-and-play' modules that could be re-utilized for other mobile platforms, should the need arise for future implementations. Note that the aforementioned modularity will be based upon an open architecture that is compatible with further development. By implementing two robots, the transferability of the architecture will be evaluated. The mobile platforms will be assembled from widely available, low-cost commercial off-the-shelf components, in order to minimize overall cost, recognizing that the landscape for such platforms is evolving rapidly. The project is not being administered as a research project through the MnDOT Research Services office.

Sponsor:

Project Details:

  • Start date: 05/2019
  • Project Status: Active
  • Research Area: Infrastructure